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conradstevensConrad
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DOC fix gp predic doc typo (#28987)
Co-authored-by: Conrad <cste8212@acfr.usyd.edu.au>
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sklearn/gaussian_process/_gpr.py

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@@ -384,15 +384,15 @@ def predict(self, X, return_std=False, return_cov=False):
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Returns
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-------
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y_mean : ndarray of shape (n_samples,) or (n_samples, n_targets)
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Mean of predictive distribution a query points.
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Mean of predictive distribution at query points.
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y_std : ndarray of shape (n_samples,) or (n_samples, n_targets), optional
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Standard deviation of predictive distribution at query points.
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Only returned when `return_std` is True.
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y_cov : ndarray of shape (n_samples, n_samples) or \
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(n_samples, n_samples, n_targets), optional
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Covariance of joint predictive distribution a query points.
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Covariance of joint predictive distribution at query points.
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Only returned when `return_cov` is True.
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"""
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if return_std and return_cov:

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